CN103017825A - Wireless bridge health monitoring device with multi-energy supply - Google Patents

Abstract

The invention provides a wireless bridge health monitoring device with multi-energy supply. It includes a power collection and management module, a sensor module, a microprocessor module, a wireless communication module, a wireless routing node, and an alarm module; the power collection and management module is connected with the microprocessor module and the wireless communication module, and provides them with power; the sensor The digital passive sensor in the module is directly connected to the microprocessor module, the analog passive sensor is connected to the microprocessor module through the signal conditioning circuit, the microprocessor module is connected to the wireless communication module, and the wireless communication module transmits the data through wireless Send to the wireless routing node, and then send to the central monitoring room. The invention can realize the collection and utilization of various green energy in the environment without additional power supply, and is a wireless bridge health monitoring device with high energy utilization efficiency, simple device structure, high data collection accuracy and high information transmission efficiency.

Description

A wireless bridge health monitoring device with multi-energy supply

technical field

The invention belongs to the technical field of bridge health monitoring, and in particular relates to a wireless network bridge health monitoring system that supplies multiple green energy sources and does not require an additional power supply. the

Background technique

Since the 1950s, with the rapid development of bridge construction, and in the use of bridges, due to some damage from the natural environment and man-made, some bridge collapse accidents have occurred continuously, and the importance of bridge health monitoring has gradually been recognized. , use bridge health monitoring technology to observe and analyze various structural conditions of the bridge, and issue early warning signals when the bridge is in a dangerous state to ensure the normal operation of the bridge, which is of great significance to the maintenance and management of the bridge. Based on the development of existing wireless sensor network and sensor technology, there are corresponding applications in bridge health monitoring. At present, there are already some wireless data acquisition technologies for bridge health monitoring, as described in the patent application number 200720140648.4. This patent uses built-in batteries or external artificial monitoring charging to supply power, and dual-CPU data processing mode bridge detection wireless data acquisition These devices have the following disadvantages: 1. Use batteries or a single power supply to power the system, and the energy collection and conversion efficiency is low; 2. Dual CPUs and dual communication modules increase the power consumption of the system; 3. The sensors used are analog For quantity sensors, the signal needs to be filtered, amplified, and converted from analog to digital, which greatly reduces the accuracy and time lag of data acquisition, and increases the energy consumption of the system. the

Contents of the invention

The technical problem to be solved by the present invention is to provide a wireless bridge health monitoring device with multi-energy supply. The shortcomings of the existing proposed bridge health monitoring technology that require an external power supply, a single power supply, and large power consumption are overcome. the

For this reason, the present invention adopts the following technical solutions: a wireless bridge health monitoring device supplied by multiple energy sources, which includes a power collection and management module, a sensor module, a microprocessor module, a wireless communication module, a wireless routing node, and an alarm module; The collection and management module is connected with the microprocessor module and the wireless communication module, and provides them with electric energy; the sensor module has a digital passive sensor and an analog sensor, and the digital passive sensor is directly connected with the microprocessor module, and the analog The sensor is connected to the microprocessor module through the signal conditioning circuit, the microprocessor module is connected to the wireless communication module, and the wireless communication module sends the data to the wireless routing node through radio, and then sends it to the central monitoring room. the

On the basis of adopting the above-mentioned technical scheme, the present invention can also adopt the following further technical schemes:

The power collection and management module includes a power collection module, a power management chip, and a supercapacitor; the power collection module includes a vibration energy module, a wind energy module, and a solar module; Vibration energy, wind energy and solar energy are converted into available voltage levels of the system. The power collection module is connected to the power management chip, the power management chip is connected to the supercapacitor, and the supercapacitor is connected to the microprocessor module and the wireless communication module for power supply. the

When the supercapacitor output voltage is connected to the voltage monitoring pin of the microprocessor module at the same time, the microprocessor module will use the fuzzy intelligent algorithm to manage its own "running" and "sleep" time according to the collected supercapacitor output voltage to realize The microprocessor module has alternate working modes of "running" and "sleep". the

Multiple sensors in the sensor module can be connected to one microprocessor module at the same time. the

The microprocessor module is connected to the alarm module. When the different monitoring values exceed the predetermined warning value, the alarm module realizes the on-site alarm, and at the same time transmits the alarm information to the central monitoring room through the network, and sends a corresponding alarm signal on the monitoring interface of the central monitoring room. the

The wireless communication module adopts 3G module, wireless communication module and wireless routing node to realize ad hoc network. the

The passive sensor module includes passive sensors for measuring the load, surface topography, and structural strength of the bridge. Passive sensors do not require the power supply of an additional power supply, thus saving a lot of energy consumption. At the same time, there are digital passive sensors and analog passive sensors in the sensor module. The measurement of some parameters uses analog passive sensors, which are connected to the microprocessor module through corresponding signal conditioning circuits, and digital passive sensors are used for the measurement of some parameters, without intermediate signal conditioning circuits, directly directly connected to the microprocessor module. Thereby, the intermediate circuit is reduced, the interference is reduced, and the whole device is more stable and reliable. the

The microprocessor module is responsible for processing and storing the data collected by the sensor, and setting a warning value. When the monitoring value exceeds the set warning value, the alarm module sends a corresponding on-site alarm signal and a monitoring room alarm signal. The microprocessor module transmits the processed information and data to the wireless communication module. At the same time, the microprocessor module is responsible for power management, real-time detection of the stored electricity and output voltage of the supercapacitor, and adjusts the "running" and "sleep" time of the microprocessor module, so that the power supply can reach the best state. the

The wireless communication module is connected with the microprocessor module, and the data collected by the sensor and processed by the microprocessor module is sent to the wireless routing node in real time through the wireless communication module. the

The wireless routing node implements networking with multiple wireless communication modules, organizes into a star-shaped wireless network topology, receives different data monitoring information from different positions of the bridge, and transmits the data to the central monitoring room. the

The beneficial effect of the present invention is that on the basis of converting multiple energy sources into electrical energy supply, no additional power supply is required, the operation and maintenance costs can be greatly reduced, and the wireless sensor network technology can be used to realize more accurate and real-time monitoring Monitoring of bridge health. the

Description of drawings

Fig. 1 is a schematic diagram of the overall structure of the present invention. the

Fig. 2 is a schematic diagram of the structure of the power management part of the present invention. the

Fig. 3 is a schematic diagram of installation of the vibration energy module of the present invention (mid-span section). the

Fig. 4 is a schematic diagram of installation of a solar module and a wind energy module of the present invention. the

The short time (ST) of the present invention of Fig. 5, (MT) in the time, the long time (LT) membership function distribution figure of the present invention

Short (S) of the present invention, medium (M), long (L) membership function distribution figure of Fig. 6

Detailed ways

As shown in Figure 1, the present invention comprises power collection and management module 15, sensor module 1, microprocessor module 6, wireless communication module 7, wireless routing node 8, alarm module 5, power collection and management module 15 and microprocessor Module 6, wireless communication module 7 are connected, and provide electric energy for them; There are digital passive sensor 2 and analog quantity sensor 3 in sensor module 1, and digital passive sensor 2 is directly connected with microprocessor module 6, and analog quantity sensor 3 After the signal conditioning circuit 4 is connected with the microprocessor module 6, the microprocessor module 6 is connected with the wireless communication module 7, and the wireless communication module 7 sends the data to the wireless routing node 8 by wireless, and then sends it to the central monitoring room. the

The sensor module 1 collects parameters such as the load, surface topography, and structural strength of the bridge, and transmits the parameters to the microprocessor module 6, and the microprocessor module 6 processes and stores the collected data, and sets a warning value. When the value exceeds the set warning value, the alarm module 5 sends an on-site alarm signal, and at the same time transmits the alarm information to the central monitoring room through the network, and sends a corresponding alarm signal on the monitoring interface of the central monitoring room. the

The power collection and management module collects the vibration energy, wind energy and solar energy of the bridge body. the

The power collection and management module 15 includes a power collection module 11 , a power management chip 10 and a supercapacitor 9 . The electric energy collection module 11 includes a vibration energy module 12 , a wind energy module 13 , and a solar module 14 . The electric energy collection module 11 collects the vibration energy, wind energy and solar energy of the bridge body respectively through the vibration energy module 12, the wind energy module 13 and the solar module 14, and converts it into the system, that is, the available voltage level of the device. The electric energy collection module 11 is connected to the power management chip 10 , the power management chip 10 is connected to the supercapacitor 9, and the supercapacitor 9 is connected to the microprocessor module 6 and the wireless communication module 7 and provides power for them. the

As shown in Fig. 3 and Fig. 4, the wind energy module 13 and the solar module 14 in the electric energy collection module 11 are installed in the best position of the bridge according to relevant regulations, and the vibration energy module 12 is installed in the place where the vibration amplitude of the bridge is relatively large. Due to the vibration of the bridge itself, the vibration bar in the vibration energy module 12 will have a voltage output, and the electric energy output by solar energy, wind energy, and vibration energy will be connected to the power management chip LTC358810 through a rectifier bridge, a filter circuit, and a voltage regulator chip. The LTC358810 is connected to the supercapacitor 9, and manages the charge and discharge of the supercapacitor 9. Furthermore, the supercapacitor 9 provides electric energy for the microprocessor module 6 and the wireless communication module 7, and at the same time realizes the alternate working mode of "running" and "sleeping" of the microprocessor module 6. The output voltage of the supercapacitor 9 is connected to the voltage detection pin of the microprocessor module 6, and the output voltage of the supercapacitor 9 is detected in real time. Utilize the fuzzy intelligent algorithm to manage the "running" and "sleep" time of the microprocessor module 6. Since the supply voltage V of the microprocessor module 6 and the wireless communication module 7 is both 3.3V, when the voltage V of the supercapacitor 9 is detected to be 2.5V-3.3V, the microprocessor module 6 is in the "running" state , when the voltage V is lower than 2.5V, the microprocessor module 6 is in the "sleep" state, and the supercapacitor 9 is charged. During this period, the time T when the voltage V drops from 3.3V to 2.5V is recorded, and the intelligent fuzzy algorithm is based on Time T determines the sleep time t of microprocessor module 6, and the intelligent fuzzy algorithm that adopts is specifically as follows:

1. Determine the fuzzy distribution of the input and output quantities and select the triangular membership function for the fuzzy subset of T

1) Select three fuzzy subsets: short time (ST), medium time (MT) and long time (LT), which are used to cover the domain [0, 100] of the input x, and their membership functions are as follows, Its distribution is shown in Figure 5:

ST(x)＝(50-x)/50 0≤x≤50

$\mathrm{<span\; class="notranslate">\; MT</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\left\{\begin{array}{cc}\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; 50</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; 50</span>}\\ <span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 100</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; 50</span>}& \mathrm{<span\; class="notranslate">\; 50</span>}<span\; class="notranslate">\; <</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; 100</span>}\end{array}\right.$

LT(x)＝(x-50)/50 50＜x≤100

2) Select three fuzzy subsets covering the domain of discourse [0, 40] of output t: short (S), medium (M), long (L), and their membership functions are as follows:

S(t)＝(10-t)/10 0≤t＜10

$\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\left\{\begin{array}{cc}\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; 10</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; 10</span>}\\ <span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 25</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; 15</span>}& \mathrm{<span\; class="notranslate">\; 10</span>}<span\; class="notranslate">\; <</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; 25</span>}\end{array}\right.$

L(t)＝(t-10)/15 10＜t≤25

2. Establish fuzzy rules

According to relevant experience, the following three fuzzy rules can be summarized:

"The time T for the voltage V to drop from 3.3V to 2.5V is short, and the time t for the microprocessor module to sleep is set to be short"

"The time T for the voltage V to fall from 3.3V to 2.5V is medium, and the time t for the microprocessor module to sleep is set to medium"

"The time T for the voltage V to drop from 3.3V to 2.5V is long, and the time t for the microprocessor module to sleep is set to be long. 

The rule table is as follows:

3. Approximate reasoning

For fuzzy rules, the output of "if x is ST then t is S" is

U ₁ (t)=ST(x)∧S(t)

"if x is MT then t is M" its output is

U ₂ (t)=MT(x)∧M(t)

The output of "if x is LT then t is L" is

U ₃ (t)=LT(x)∧L(t)

The final output fuzzy subset U(t) is the union of three subsets U ₁ (t), U ₂ (t), and U ₃ (t):

U(t)=U ₁ (t)∨U ₂ (t)∨U ₃ (t)

4. Obtain the clarity of fuzzy quantity U(t)

The fuzzy quantity clarification method used here is the calculation of the maximum degree of membership. On the domain [0, 25], the maximum value of t can be obtained according to the obtained maximum degree of membership. the

The passive sensor module 1 includes sensors for measuring parameters such as load, surface topography, and structural strength of the bridge. These passive sensors do not need an external power supply, and the output signals of the analog sensors are connected to the microprocessor module 6 through the conditioning circuit, and processed by the microprocessor module 6 . Some digital quantity sensors can be directly connected to the microprocessor module 6 without a conditioning circuit. Multiple sensors can be connected to one microprocessor module, mainly including the following types of sensors: vehicle load detection sensors, which can detect dangerous situations before dangerous loads pass through the bridge and send out alarm signals in time; temperature monitoring sensors, which monitor Temperature and ambient temperature; humidity detection sensor, monitor the humidity inside and outside the box girder of the bridge under working condition, so as to evaluate the safety and working status of the bridge according to the influence of humidity on the box girder; dynamic deflection monitoring sensor, which can be more convenient and accurate The deformation state of the bridge structure can be accurately monitored; the vibration monitoring sensor can monitor the dynamic characteristics and vibration level of the bridge; the support deformation monitoring sensor can monitor the displacement of the support under the working state of the bridge, and understand the displacement of the bridge structure under load , and at the same time infer the working status of the whole bridge support through the monitoring of some supports, and provide information for bridge maintenance and support replacement. Monitoring of these parameters of the bridge can provide a better understanding of the health of the bridge. the

The main processor adopted by the microprocessor module 6 is the MSP430F5438 single-chip microcomputer of TI Company. This single-chip microcomputer has the advantages of low voltage, low power consumption, strong processing ability, etc., and is very suitable for occasions with low power consumption. The microprocessor module 6 first completes the initialization work, and configures the pins of the microprocessor module 6 according to the different sensors connected to each pin of the processor. The input of the analog sensor 3 needs to be processed through the A/D conversion on-chip. The input of the digital quantity sensor 2 does not need to be converted, and the microprocessor module 6 directly processes the data transmitted by it. In order to improve the accuracy of the monitoring data and the efficiency of data transmission, various data can be processed by the median filter method, that is, the cumulative Collect 10 values, remove the maximum and minimum values and take the average of the remaining 8 conversion values. Obtain the data obtained after the processing through the data processing sub-module, store it on the one hand, and when the detected value exceeds the set warning value, the alarm module 5 sends an on-site alarm signal. On the other hand, the collected data is packaged and packaged, and transmitted to the wireless routing node 8 through the wireless communication module 7 . the

The wireless communication module 7 sends the data processed by the microprocessor module 6 to the wireless routing node 8 by radio. The wireless communication module 7 adopts the Huawei CDMAEV-DO module based on the MC703-EVB platform. Connect to the motherboard through the RS-232 serial port. Huawei MC703 supports 800/1900MHz frequency band communication; embedded TCP/IP protocol, low power consumption; rich human-computer interaction interface, easy to use. the

The wireless routing node 8 receives data transmitted from the wireless communication module 7, and the wireless routing node 8 communicates with the central monitoring center through an optical fiber network or other wireless communication methods, so that the monitoring center can monitor the health status of the bridge in real time. the

Claims (6)

1. the wireless bridge health monitoring device supplied with of a multiple-energy-source is characterized in that it comprises that power supply is collected and administration module (15), sensor assembly (1), microprocessor module (6), wireless communication module (7), wireless routing node (8), alarm module (5); Power supply is collected and to be connected 15 with administration module) be connected with microprocessor module (6), wireless communication module (7), and for they provide electric energy; Have digital passive sensor (2) and analog quantity passive sensor (3) in the sensor assembly (1), digital passive sensor (2) directly links to each other with microprocessor module (6), analog quantity passive sensor (3) is connected with microprocessor module (6) through signal conditioning circuit (4) again, microprocessor module (6) is connected with wireless communication module (7), wireless communication module (7) is by the wireless wireless routing node (8) that sends data to, and and then is sent to central control room.

2. the wireless bridge health monitoring device of supplying with by a kind of multiple-energy-source described in the claim 1 is characterized in that comprising electricity collection module (11), power management chip (10), super capacitor (9) in power supply collection and the administration module (15); Electricity collection module (11) involving vibrations energy module (12), wind energy module (13), solar energy module (14); Electricity collection module (11) is collected respectively energy of vibration, wind energy and the sun power of pontic by energy of vibration module (12), wind energy module (13) and solar energy module (14), and be converted to system's voltage available grade, electricity collection module (11) connects power management chip (10), power management chip (10) connects super capacitor (9), and super capacitor (9) connects microprocessor module (6) and wireless communication module (7) is its power supply.

3. the wireless bridge health monitoring device of supplying with by a kind of multiple-energy-source described in the claim 1, it is characterized in that being connected to simultaneously at super capacitor (9) output voltage the voltage monitoring pin of microprocessor module (6), microprocessor module (6) can be according to the voltage of the super capacitor output that collects, adopt " RUN " and " dormancy " time of fuzzy intelligence algorithm management self, realize the mode of operation that microprocessor module (6) " RUN " and " dormancy " replace.

4. the wireless bridge health monitoring device of supplying with by a kind of multiple-energy-source described in the claim 1 is characterized in that a plurality of sensors in the described sensor assembly are connected to a microprocessor module (6) simultaneously.

5. the wireless bridge health monitoring device of supplying with by a kind of multiple-energy-source described in the claim 1, it is characterized in that microprocessor module (6) connects alarm module (5), when different monitor values exceeds predetermined warning value, alarm module (5) is realized onsite alarming, by network warning message is transferred to central control room simultaneously, sends corresponding alerting signal at central control room's monitoring interface.

6. the wireless bridge health monitoring device of supplying with by a kind of multiple-energy-source described in the claim 1 is characterized in that wireless communication module (7) adopts 3G module, wireless communication module (7) and wireless routing node (8) MANET.

Images